Carnegie Mellon University campus

Engineering

MS Engineering Artificial Intelligence (CMU-Africa, MS EAI) at Carnegie Mellon University

Carnegie Mellon University, United States

Programme overview

Master's that embeds AI in engineering frameworks, teaching students to invent, tune and specialise AI algorithms for engineered systems in transportation, buildings, manufacturing, energy, agriculture, security, health and climate.

Faculty: College of Engineering  |  Department: CMU-Africa (Kigali, Rwanda)  |  Duration: 16-20 months (3-4 semesters)  |  Study mode: full-time  |  Location: Pittsburgh, PA, United States

What you will study

Engineering and AI coursework with a 24-unit capstone project beginning in a first-semester seminar on AI applications in Africa and implemented in the second year.

Career pathways

Software engineer, network architect, data scientist, cybersecurity consultant, technical product manager, PhD candidate, entrepreneur.

Official programme page

Application information

Entry requirements

Bachelor's degree or final year of a bachelor's programme; no minimum GPA; strong programming skills and high English proficiency; competency tests; online application.

Duration: 16-20 months (3-4 semesters)

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